Applied ML Engineer — Claims Data Platform

Zywa; New York (NY); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Founding-level equity

Job summary

Cozmo is building the AI operating system for property claims in New York. The role focuses on turning raw claim data into scalable models that predict line-item outcomes and guide automated decisioning.

You will design schemas, ingestion, and feature pipelines, then train and deploy predictive models to support live claims. You will work directly with CTOs and founders, shaping the data platform and expanding capabilities from field photos to transcripts, while maintaining a bias toward

Qualifications

• Excellent data engineering with Python, SQL and robust pipelines that survive schema drift.
• Ability to own infrastructure end-to-end and work with evolving data schemas.
• Strong applied ML on tabular data and knowledge of gradient-boosted models.

Responsibilities

• Build the claims data platform from scratch: ingestion, schema design, feature pipelines, storage and orchestration.
• Ship the first estimation models to production and iterate against live claim outcomes.
• Design labeling and evaluation strategy for negotiated labels, where the metric is critical.
• Wire model outputs into the agents running live claims, coordinating with forward deployed teams.
• Build tooling to let a small ML effort scale to large data assets (training, tracking, serving, monitoring).
• Extend into industry-first layers: scope prediction from field data and transcripts, leakage detection and pricing signals.

Skills

Python

SQL

dbt

Spark

Data pipelines

ML on tabular data

Gradient boosting

Production ML

Tools

dbt

Spark

Airflow

Job description

Cozmo is building the AI operating system for property claims in New York. The role focuses on turning raw claim data into scalable models that predict line-item outcomes and guide automated decisioning.

You will design schemas, ingestion, and feature pipelines, then train and deploy predictive models to support live claims. You will work directly with CTOs and founders, shaping the data platform and expanding capabilities from field photos to transcripts, while maintaining a bias toward